diff --git a/PaddleNLP/examples/text_generation/couplet/data.py b/PaddleNLP/examples/text_generation/couplet/data.py
index c43ac0482d3f32f9946c51b157ffebef49800a68..135557ef68fb41afbf18026c40dfe278fde42882 100644
--- a/PaddleNLP/examples/text_generation/couplet/data.py
+++ b/PaddleNLP/examples/text_generation/couplet/data.py
@@ -21,7 +21,7 @@ import numpy as np
 import paddle
 from paddlenlp.data import Vocab, Pad
 from paddlenlp.data import SamplerHelper
-from paddlenlp.datasets import TranslationDataset
+from paddlenlp.datasets import CoupletDataset
 
 
 def create_train_loader(batch_size=128):
@@ -65,50 +65,3 @@ def prepare_input(insts, pad_id):
         [inst[1] for inst in insts])
     tgt_mask = (tgt[:, :-1] != pad_id).astype(paddle.get_default_dtype())
     return src, src_length, tgt[:, :-1], tgt[:, 1:, np.newaxis], tgt_mask
-
-
-class CoupletDataset(TranslationDataset):
-    URL = "https://paddlenlp.bj.bcebos.com/datasets/couplet.tar.gz"
-    SPLITS = {
-        'train': TranslationDataset.META_INFO(
-            os.path.join("couplet", "train_src.tsv"),
-            os.path.join("couplet", "train_tgt.tsv"),
-            "ad137385ad5e264ac4a54fe8c95d1583",
-            "daf4dd79dbf26040696eee0d645ef5ad"),
-        'dev': TranslationDataset.META_INFO(
-            os.path.join("couplet", "dev_src.tsv"),
-            os.path.join("couplet", "dev_tgt.tsv"),
-            "65bf9e72fa8fdf0482751c1fd6b6833c",
-            "3bc3b300b19d170923edfa8491352951"),
-        'test': TranslationDataset.META_INFO(
-            os.path.join("couplet", "test_src.tsv"),
-            os.path.join("couplet", "test_tgt.tsv"),
-            "f0a7366dfa0acac884b9f4901aac2cc1",
-            "56664bff3f2edfd7a751a55a689f90c2")
-    }
-    VOCAB_INFO = (os.path.join("couplet", "vocab.txt"), os.path.join(
-        "couplet", "vocab.txt"), "0bea1445c7c7fb659b856bb07e54a604",
-                  "0bea1445c7c7fb659b856bb07e54a604")
-    UNK_TOKEN = '<unk>'
-    BOS_TOKEN = '<s>'
-    EOS_TOKEN = '</s>'
-    MD5 = '5c0dcde8eec6a517492227041c2e2d54'
-
-    def __init__(self, mode='train', root=None):
-        data_select = ('train', 'dev', 'test')
-        if mode not in data_select:
-            raise TypeError(
-                '`train`, `dev` or `test` is supported but `{}` is passed in'.
-                format(mode))
-        # Download and read data
-        self.data = self.get_data(mode=mode, root=root)
-        self.vocab, _ = self.get_vocab(root)
-        self.transform()
-
-    def transform(self):
-        eos_id = self.vocab[self.EOS_TOKEN]
-        bos_id = self.vocab[self.BOS_TOKEN]
-        self.data = [(
-            [bos_id] + self.vocab.to_indices(data[0].split("\x02")) + [eos_id],
-            [bos_id] + self.vocab.to_indices(data[1].split("\x02")) + [eos_id])
-                     for data in self.data]
diff --git a/PaddleNLP/paddlenlp/datasets/__init__.py b/PaddleNLP/paddlenlp/datasets/__init__.py
index 00a54da30464110284c66bad40c20ae55dfaa4e2..6cb89daff8ace0e6727199855bf16bd46376b474 100644
--- a/PaddleNLP/paddlenlp/datasets/__init__.py
+++ b/PaddleNLP/paddlenlp/datasets/__init__.py
@@ -24,4 +24,5 @@ from .squad import *
 from .translation import *
 from .dureader import *
 from .cnndm import *
-from .poetry import *
\ No newline at end of file
+from .poetry import *
+from .couplet import *
\ No newline at end of file
diff --git a/PaddleNLP/paddlenlp/datasets/couplet.py b/PaddleNLP/paddlenlp/datasets/couplet.py
new file mode 100644
index 0000000000000000000000000000000000000000..b338748be502e3286d433aec8404f842c5de395e
--- /dev/null
+++ b/PaddleNLP/paddlenlp/datasets/couplet.py
@@ -0,0 +1,66 @@
+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+from paddlenlp.datasets import TranslationDataset
+
+__all__ = ['CoupletDataset']
+
+
+class CoupletDataset(TranslationDataset):
+    URL = "https://paddlenlp.bj.bcebos.com/datasets/couplet.tar.gz"
+    SPLITS = {
+        'train': TranslationDataset.META_INFO(
+            os.path.join("couplet", "train_src.tsv"),
+            os.path.join("couplet", "train_tgt.tsv"),
+            "ad137385ad5e264ac4a54fe8c95d1583",
+            "daf4dd79dbf26040696eee0d645ef5ad"),
+        'dev': TranslationDataset.META_INFO(
+            os.path.join("couplet", "dev_src.tsv"),
+            os.path.join("couplet", "dev_tgt.tsv"),
+            "65bf9e72fa8fdf0482751c1fd6b6833c",
+            "3bc3b300b19d170923edfa8491352951"),
+        'test': TranslationDataset.META_INFO(
+            os.path.join("couplet", "test_src.tsv"),
+            os.path.join("couplet", "test_tgt.tsv"),
+            "f0a7366dfa0acac884b9f4901aac2cc1",
+            "56664bff3f2edfd7a751a55a689f90c2")
+    }
+    VOCAB_INFO = (os.path.join("couplet", "vocab.txt"), os.path.join(
+        "couplet", "vocab.txt"), "0bea1445c7c7fb659b856bb07e54a604",
+                  "0bea1445c7c7fb659b856bb07e54a604")
+    UNK_TOKEN = '<unk>'
+    BOS_TOKEN = '<s>'
+    EOS_TOKEN = '</s>'
+    MD5 = '5c0dcde8eec6a517492227041c2e2d54'
+
+    def __init__(self, mode='train', root=None):
+        data_select = ('train', 'dev', 'test')
+        if mode not in data_select:
+            raise TypeError(
+                '`train`, `dev` or `test` is supported but `{}` is passed in'.
+                format(mode))
+        # Download and read data
+        self.data = self.get_data(mode=mode, root=root)
+        self.vocab, _ = self.get_vocab(root)
+        self.transform()
+
+    def transform(self):
+        eos_id = self.vocab[self.EOS_TOKEN]
+        bos_id = self.vocab[self.BOS_TOKEN]
+        self.data = [(
+            [bos_id] + self.vocab.to_indices(data[0].split("\x02")) + [eos_id],
+            [bos_id] + self.vocab.to_indices(data[1].split("\x02")) + [eos_id])
+                     for data in self.data]